Stéphanie Daval
Impact in
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
- Endocrinology top 10%
Papers in
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- Peroxisome Proliferator-Activated Receptors 4
- Fungal and yeast genetics research 2
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- Plant Disease Resistance and Genetics 6
- Plant-Microbe Interactions and Immunity 4
- Plant Pathogens and Resistance 3
- Wheat and Barley Genetics and Pathology 3
- Co-authors
- Kévin Gazengel (14 shared papers)Lionel Lebreton (9 shared papers)Anne‐Yvonne Guillerm‐Erckelboudt (8 shared papers)Alain Sarniguet (7 shared papers)Vincent Rioux (4 shared papers)Philippe Legrand (4 shared papers)Sandrine Lagarrigue (4 shared papers)Madeleine Douaire (3 shared papers)
In The Last Decade
Stéphanie Daval
29 papers receiving 573 citations
Peers
Comparison fields: 5 of 77
- Biochemistry 60
- Endocrinology 36
- Animal Science and Zoology 59
- Nutrition and Dietetics 80
- Plant Science 203
Countries citing papers authored by Stéphanie Daval
This map shows the geographic impact of Stéphanie Daval's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stéphanie Daval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphanie Daval more than expected).
Fields of papers citing papers by Stéphanie Daval
This network shows the impact of papers produced by Stéphanie Daval. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stéphanie Daval. The network helps show where Stéphanie Daval may publish in the future.
Co-authors
The 25 scholars most cited alongside Stéphanie Daval, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 56 | |
| 2 | 2004 | 50 | |
| 3 | 2000 | 45 | |
| 4 | 2013 | 42 | |
| 5 | 2019 | 42 | |
| 6 | 2009 | 42 | |
| 7 | 2011 | 38 | |
| 8 | 2001 | 34 | |
| 9 | 2004 | 30 | |
| 10 | 2020 | 28 | |
| 11 | 2003 | 28 | |
| 12 | 2006 | 24 | |
| 13 | 2018 | 20 | |
| 14 | 2009 | 19 | |
| 15 | 2022 | 13 | |
| 16 | 2000 | 12 | |
| 17 | 1994 | 11 | |
| 18 | 2006 | 11 | |
| 19 | 2013 | 8 | |
| 20 | 1999 | 7 |
About Stéphanie Daval
Stéphanie Daval is a scholar working on Molecular Biology, Plant Science, Cell Biology, Biochemistry and Animal Science and Zoology, having authored 29 papers that have together received 589 indexed citations. Recurring topics across this work include Plant Disease Resistance and Genetics (6 papers), Lipid metabolism and biosynthesis (4 papers), Plant-Microbe Interactions and Immunity (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Plant and Fungal Interactions Research (3 papers), Plant Pathogens and Resistance (3 papers), Wheat and Barley Genetics and Pathology (3 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Biochemistry (60 citations), Endocrinology (36 citations), Animal Science and Zoology (59 citations), Nutrition and Dietetics (80 citations) and Plant Science (203 citations). Stéphanie Daval has collaborated with scholars based in France, Morocco and Algeria. Frequent co-authors include Kévin Gazengel, Lionel Lebreton, Anne‐Yvonne Guillerm‐Erckelboudt, Alain Sarniguet, Vincent Rioux, Philippe Legrand, Sandrine Lagarrigue, Madeleine Douaire, Sophie Jan and Hervé Guillou. Their work appears in journals such as PLoS ONE, Plant Pathology, Genetics Selection Evolution, Frontiers in Plant Science and Gene.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.